Computational Skills of Non-Mathematics Major Students: Basis for Enhanced Mathematical Intervention

Jenifer D. Damayo, Cristina A. Samorin

Abstract


Mathematics concept, forms as foundation to any field of specialization, providing avenue for critical thinking and logical reasoning. The authors of this study investigated the computational skills of non-math identified using cluster sampling. Data were gathered by means of a standardized questionnaire and classroom observations. Based on the findings, the result reveals that the respondents from technology students (BSIT and BSHRM) were poor in the manipulative skills while respondents from teacher Education students (BSHTE) whose average age is twenty-two (22) were good in manipulative skills. All respondents under survey resulted to poor performance on Combining-Like-Terms, Removal-Of-Grouping-Symbols and Substitution- Skills. The researchers concluded that computational skills of non-math major vary from courses, and from the average age of the respondents. Furthermore, poor performance may be attributed to their overdue duration of their learning in math, and could be associated with their non-interest on the survey because it is not a major part of their curriculum. Thus, the researchers recommend that instructors would formulate intervention to cater this less-develop majors in Palompon Institute of Technology- Tabango Campus. Descriptive research design was utilized in obtaining the needed information from the fifty-five (55) first year students’ respondents’ skill of the non-math students.


Keywords


mathematical manipulation, less-develop skills, poor performance, Tabango, Leyte, Philippines

Full Text:

PDF

References


Abrams, E., Taylor, P. C., & Guo, C. J. (2013). Contextualizing Culturally Relevant Science and Mathematics Teaching for Indigenous Learning. International Journal of Science and Mathematics Education, 11 (1), 1-21.

Yunus, A. S. M., & Ali, W. Z. W. (2009). Motivation in the Learning of Mathematics. European Journal of Social Sciences, 7 (4), 93-101.

Artzt, A. F., Armour-Thomas, E., & Curcio, F. R. (2008). Becoming a reflective mathematics teacher. New York: Lawrence Erlbaum Associates.

Ashcraft, M. H., & Moore, A. M. (2009). Mathematics Anxiety and the Affective Drop in Performance. Journal of Psychoeducational Assessment, 27 (3), 197-205.

Carraher, D. W., & Schliemann, A. D. (2002). Is everyday mathematics truly relevant to mathematics education? In J. Moshkovich & M. Brenner (Eds.) Everyday and Academic Mathematics in the Classroom (pp. 238-283). Monographs of the Journal for Research in Mathematics Education, 11.

Chadwick, D. (2009). Approaches to Building Conceptual Understanding. Ministry of Education by Learning Media Limited, Wellington, New Zealand.

Ferri, R. B. (2012). Mathematical Thinking Styles and their Influence on Teaching and Learning Mathematics. Paper presented at the 12th International Congress on Mathematics Education, Seoul, Korea.

Johnston-Wilder, S. & Lee, C. (2010). Mathematical Resilience. Mathematics Teaching, 218, 38-41

Laistner, N. (2016). Metacognition and Student Achievement in Mathematics. (Master’s Thesis). Education and Human Development, Retrieved from https://digitalcommons.brockport.edu/cgi/viewcontent.cgi?article=1624&context=ehd_theses.

Molina, C. (2014). Teaching Mathematics Conceptually. SEDL insights, 1 (4), 1-8.

National Research Council. (2001). Adding It Up: Helping Children Learn Mathematics. Washington, DC: National Academy Press.

National Council of Teachers of Mathematics. (2014). Principles to actions: Ensuring mathematical success for all. Reston, VA.

NCTM. (1991). Professional Standards for Teaching Mathematics. Reston, VA: National Council of Teachers of Mathematics.

Rosa, M. (2000). From reality to mathematical modelling: A proposal for using ethnomathematical knowledge. (Unpublished Master Thesis). College of Education, California State University, Sacramento.

Rosa, M. (2010). A mixed method study to understand the perceptions of high school leaders about English language learners (ELL): The case of mathematics. (Unpublished Doctorate Dissertation). College of Education, California State University, Sacramento.

Siebers, W. (2015). The Relationship Between Math Anxiety And Student Achievement of Middle School Students. (Unpublished Doctorate Thesis). Colorado State University, Fort Collins, Colorado.

Turner, J. C., Migley, C., Meyer, D. K. , Gheen, M., Andeman, E. M., Kang, Y., et al. (2002). The Classroom Environment and Students Report of Avoidance Strategies in Mathematics: A Multimethod Study. Journal of Educational Psychology, 94, 88-106.


Refbacks

  • There are currently no refbacks.


International Journal of Humanities and Social Sciences

Print version: 1694-2620
Online version: 1694-2639